Refer to a series of AI models that teach robots to complete basic tasks in environments they have never been trained for, without additional training or fine-tuning. RUMs allow machines to complete five different tasks: opening doors and drawers, and picking up tissues, bags, and cylindrical objects in unfamiliar environments. This is a significant advance since researchers typically need to train robots on new data for each new environment they encounter — often a time-consuming, expensive process.